Py6S Lightning talk at Collaborations Workshop 2014

Lightning talk on my Python interface to the 6S Radiative Transfer Model, delivered at the Collaborations Workshop 2014, in Oxford

Transcript

1. Atmospheric Radiative Transfer Model Key to many satellite data products Awful interface to intuitive Python code No need to create ‘one off’ scripts Interfaces with exe, doesn’t reimplement Self-documenting + reproducible 0 40.0 100.0 45.0 50.0 7 23 8 3.0 3.5 4 0.25 0.25 0.25 0.25 0 0.5 -0.2 -3.3 -1.5 -3.5 0.25 11 1 2 1 0.5 1 -0.1 s = SixS() s.atmos_profile = AtmosProfile.UserWaterAndOzone(3.0, 3.5) s.aero_profile = AeroProfile.User(dust=0.25, water=0.25, oceanic=0.25, soot=0.25) s.aot550 = 0.5 s.run()